无人机作物监测与杂草自动检测

Abdul Hafeez, Vikas Tiwari, Vinod Kumar Verma, Akhtar Saleem Ansari, M. A. Husain, S. P. Singh, A. N. Khan
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引用次数: 2

摘要

由于农业成本的不断增加,有效农业意味着农业的无损生产,这是当前情景所期望的需求。杂草是农业中的一个大问题,因为它是农业损失的主要部分。现在,在整个田地里均匀地喷洒除草剂来控制杂草。这种方法不仅成本昂贵,而且对环境和人体健康有不良影响。因此,需要一个自动系统进行现场喷涂。无人机技术的进步使得适用于喷洒农药的高载荷无人机成为可能。嵌入式系统具有深度学习编程,当用于控制无人机时,它将有可能在所需的地方喷洒除草剂。本文讨论了一种适用于现场除草剂喷洒的基于人工智能的作物监测与杂草检测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop Monitoring and Automatic Weed Detection using Drone
The effective farming means lossless farming which is a desired need of current scenario, since the cost of farming is increasing continuously. Weeds are a big problem in agriculture because it is major part of agricultural losses. Nowadays, herbicides are sprayed uniformly throughout the field to control the weed. This method is not only expensive but also have bad impacts on environment and human health. Therefore, an automatic system is needed for spot spray. Improvement in drone technology leads to availability of high payload drone that are suitable for pesticides spraying. Embedded system programed with deep learning when use to control the drone then it will be possible to spray the herbicides at desired place. This paper discusses the artificial intelligence (AI) based crop monitoring and weed detection system that are suitable for spot herbicides spraying.
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